Comparison of diagnostic performance of two ultrasound risk stratification systems for thyroid nodules: a systematic review and meta-analysis
- Abstract
- Objectives: To assume the ideal cut-off values and diagnostic performance of two thyroid imaging reporting and data systems published by the Korean Thyroid Association/Korean Society of Thyroid Radiology (Korean TI-RADS) and the American Thyroid Association (ATA TI-RADS).
Methods: Eighteen studies with 25,422 patients from PubMed, SCOPUS, Embase, Web of Science, and Cochrane Library databases up to August 2022. True and false positive and negative values with characteristics were extracted.
Results: The highest area under the receiver operating characteristic curve (AUC) was 0.893 and 0.887 for Korean and ATA TI-RADS. High suspicion was judged as the best cut-off value with the highest AUC based on optimal sensitivity and specificity. In determining the risk of malignant thyroid nodules, high suspicion in Korean and ATA TI-RADS showed sensitivity as 71.3% and 73.5%, specificity as 7.9% and 86.4%, diagnostic odds ratios as 20.0289 and 20.9076, AUC as 0.893 and 0.887. There was no significant difference when directly comparing the diagnostic accuracy of both TI-RADS.
Conclusion: The two risk stratification systems had good diagnostic performance with high AUC and no significant differences. The ideal cut-off can depend on the medical condition or thyroid nodules, because the changes of cut-off point may reciprocally alter sensitivity and specificity.
- All Author(s)
- Yun Jin Kang
; Hee Sun Ahn
; Gulnaz Stybayeva
; Ju Eun Lee
; Se Hwan Hwang
- Issued Date
- 2023
- Type
- Article
- Keyword
- Diagnostic imaging; Meta-analysis; Systematic review; Thyroid cancer; Thyroid nodules; Ultrasonography
- Publisher
- Società italiana di radiologia medica e medicina nucleare
- ISSN
- 0033-8362
; 1826-6983
- Citation Title
- La Radiologia medica
- Citation Volume
- 128
- Citation Number
- 11
- Citation Start Page
- 1407
- Citation End Page
- 1414
- Language(ISO)
- eng
- DOI
- 10.1007/s11547-023-01709-3
- URI
- http://schca-ir.schmc.ac.kr/handle/2022.oak/1262
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